title: Validation of diagnostic codes for intussusception and quantification of childhood intussusception incidence in Ontario, Canada: a population-based study.
abstract: OBJECTIVE
  To validate an algorithm to identify cases of intussusception using the health administrative data of Ontario, Canada, and to apply the algorithm to estimate provincial incidence of intussusception, preceding the introduction of the universal rotavirus vaccination program.
  
  
  METHODS
  We determined the accuracy of various combinations of diagnostic, procedural, and billing codes using the chart-abstracted diagnoses of patients of the Children's Hospital of Eastern Ontario as the reference standard. We selected an algorithm that maximized positive predictive value while maintaining a high sensitivity and used it to ascertain annual incidence of intussusception for fiscal years 1995-2010. We explored temporal trends in incidence using Poisson regression.
  
  
  RESULTS
  The selected algorithm included only the International Classification of Diseases (ICD)-9 or ICD-10 code for intussusception in the hospitalization database and was sensitive (89.3%) and highly specific (>99.9%). The positive predictive value of the ICD code was 72.4%, and the negative predictive value was >99.9%. We observed the highest mean incidence (34 per 100000) in male children <1 year of age. Temporal trends in incidence varied by age group. There was a significant mean decrease in incidence of 4% per year in infants (<1 year) until 2004 and rates stabilized thereafter.
  
  
  CONCLUSIONS
  We have demonstrated that intussusception can be accurately identified within health administrative data using validated algorithms. We have described changes in temporal trends in intussusception incidence in Ontario and established a baseline to allow ongoing monitoring as part of vaccine safety surveillance.
authors.affiliation: Institute for Clinical Evaluative Sciences, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada; Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
authors.forename: Robin
authors.initials: R
authors.lastname: Ducharme
authors.forename: Eric I
authors.initials: EI
authors.lastname: Benchimol
authors.forename: Shelley L
authors.initials: SL
authors.lastname: Deeks
authors.forename: Steven
authors.initials: S
authors.lastname: Hawken
authors.forename: Dean A
authors.initials: DA
authors.lastname: Fergusson
authors.forename: Kumanan
authors.initials: K
authors.lastname: Wilson
mesh_terms: D000293:Adolescent; D000465:Algorithms; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D005260:Female; D006760:Hospitalization; D006801:Humans; D015994:Incidence; D007223:Infant; D038801:International Classification of Diseases; D007443:Intussusception / Q000145:classification / Q000175:diagnosis* / Q000453:epidemiology*; D008297:Male; D009864:Ontario; D016012:Poisson Distribution; D011237:Predictive Value of Tests; D022243:Rotavirus Vaccines / Q000627:therapeutic use; D012680:Sensitivity and Specificity; D013997:Time Factors
chemical_list: D022243:Rotavirus Vaccines
keywords: CHEO; CIHI-DAD; Canadian Institute for Health Information Discharge Abstract Database; Children's Hospital of Eastern Ontario; ED; Emergency department; FY; Fiscal year; ICD; ICES; Institute for Clinical Evaluative Sciences; International Classification of Diseases; NACRS; National Ambulatory Care Reporting System; OHIP; Ontario Health Insurance Plan; PPV; Positive predictive value